students performance in the use of the taught strategies
Promoting learner autonomy in learning vocabulary for second-year students at Hai Phong Medical University = Phát huy tính tự chủ trong việc học từ vựng cho sin
... encounter in their independent vocabulary learning? How well the students use the taught strategies in their guided vocabulary practice? How much the students use the taught strategies in their guided ... 2.1.1 Students performance in the use of Strategy Set and Set 29 2.1.2 Students performance in the use of Strategy Set 30 2.2 Research question 3: Students participation in the use of the taught ... How much the students use the taught strategies in their guided vocabulary practice? To what extent the students maintain the taught strategies in their independent vocabulary learning? How effective...
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FOCUS ON - pronunciation of three-word phrasal verbs
... out pointed out pointed out point out p.v When you bring things or people to someone's attention or indicate the location of things or people with your hand or index finger, you point them out ... lying again, and let out a sigh The lion let out a loud roar before he attacked the hunter Infinitive present tense point out point out & points out -ing form past tense past participle pointing ... through the museum, the tour guide pointed several famous paintings out General Johnston showed the satellite photo to the reporter and pointed out the enemy tanks point out p.v When you are writing...
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FOCUS ON - three-word phrasal verbs
... used in the continuous tense (also called the progressive tense) using the -ing form of the verb (also called the present participle) and a form of be: The principal told me you'd been cheating ... start planning for retirement point to point to & points to pointing to pointed to pointed to point to p.v When you indicate people or things with your hand or a finger, you point to them When ... handle the riot, the National Guard was called in The local police chief considered calling the FBI in to help solve the crime find out find out & finds out finding out found out found out find...
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three-word phrasal verbs
... used in the continuous tense (also called the progressive tense) using the -ing form of the verb (also called the present participle) and a form of be: The principal told me you'd been cheating ... start planning for retirement point to point to & points to pointing to pointed to pointed to point to p.v When you indicate people or things with your hand or a finger, you point to them When ... pointing to the south We would be planning for a bigger crowd if the weather weren't so bad They should be wrapping the meeting up in a few minutes Thanks for all your help I'm sorry for putting...
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Learning express Goof Proof Spelling - WORD BASICS
... placed at the end of a word A suffix will often signify how the word is being used and its part of speech Common roots, prefixes, and suffixes are outlined in the following tables Use these tables ... ADJECTIVE ENDINGS SUFFIX MEANING EXAMPLE -able -ian capable, able one who is or does -ic -ile -ious -ive -less causing, making pertaining to having the quality of having the nature of without perishable, ... Stealing was antethetical / antithetical to her beliefs He felt constant pain in his arm after hypoextending / hyperextending his elbow The meteorologist called for intermittent / intramittent rain...
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Tài liệu Báo cáo khoa học: "Word representations: A simple and general method for semi-supervised learning" doc
... vocabulary is large Instead of cross-validating using the log-rank over the validation data as they do, we instead used the moving average of the training loss on training examples before the weight update ... trained for about 50 epochs One of the difficulties in inducing these embeddings is that there is no stopping criterion defined, and that the quality of the embeddings can keep improving as training ... on the test set too (In chunking, after finding the best hyperparameters on the development set, we would combine the dev and training set and training a model over this combined set, and then...
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Tài liệu Báo cáo khoa học: "Learning Word-Class Lattices for Definition and Hypernym Extraction" doc
... corpus of the English language constructed by crawling the uk domain of the Web The subset includes over 300,000 sentences in which occur any of 239 terms selected from the terminology of four ... classifier as there is a single WCL that can possibly match the input sentence, WCL-3 selects, if any, the combination of the three WCLs that best fits the sentence In fact, choosing the most appropriate ... is the sum of the number of sentences in the star patterns corresponding to the three lattices Finally, when a sentence is classified as a definition, its hypernym is extracted by selecting the...
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Tài liệu Báo cáo khoa học: "Learning Word Vectors for Sentiment Analysis" ppt
... and inverse document frequency (idf) weighting to transform the values in a VSM often increases the performance of retrieval and categorization systems Delta idf weighting (Martineau and Finin, ... the scaling direction of θ This idea is similar to the word vector inner product used in the log-bilinear language model of Mnih and Hinton (2007) Equation resembles the probabilistic model of ... denotes the number of documents in the dataset with the same rounded value of sk (i.e sk < 0.5 and sk ≥ 0.5) We introduce the weighting |Sk | to combat the well-known imbalance in ratings present in...
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Tài liệu Báo cáo khoa học: "Learning Sub-Word Units for Open Vocabulary Speech Recognition" doc
... detector training set is different from the LVCSR training set We also use a hybrid LVCSR system, combining word and sub-word units obtained from either our approach or a state -of -the- art baseline approach ... segmentation of the corpus 3.2 Efficient Sampling scoring the segmentation’s features This weight is the negative log probability of the resulting model after adding the corresponding features ... 100 Each of the words in training and development was converted to their most-likely pronunciation using the dictionary This was used to obtain the 5K hybrid system To learn subwords for the 10K...
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Tài liệu Báo cáo khoa học: "Learning Word Senses With Feature Selection and Order Identification Capabilities" pdf
... set into disjoint halves, and compute the agreement of clustering solutions estimated from these sets using stability measure The average of stability over q resampling is the estimation of the ... splitting does not eliminate some of the underlying modes in data set For comparison of different clustering structures, predictors are constructed based on these clustering solutions, then we use ... randomly selecting 500 instances for each ambiguous word - “hard”, “interest”, “line”, and “serve” The details of these datasets are given in Table Our preprocessing included lowering the upper case...
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Báo cáo khoa học: "Dealing with Spurious Ambiguity in Learning ITG-based Word Alignment" pdf
... In HLTNAACL Shujie Liu, Chi-Ho Li, and Ming Zhou 2010 Discriminative pruning for discriminative itg alignment In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, ... derivations on the test set using the average weights We used the manually aligned Chinese-English corpus in NIST MT02 evaluation The first 200 sentence pairs were used for training, and the last 150 ... from FBIS data), relative distances, matchings of high frequency words, matchings of pos-tags, etc Online training was performed using the margin infused relaxed algorithm (Crammer et al., 2006),...
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Báo cáo khoa học: "Unsupervised Learning of Acoustic Sub-word Units" pot
... the training speech using our modified ML-SSS procedure; we tried N = 22, 70 and 376 For each N , we then labeled the training speech using the learnt HMM, used the phonetic transcription of the ... Section is capable of assigning state-labels to speech via the Viterbi algorithm Evaluating whether these labels are linguistically meaningful requires interpreting the labels in terms of phonemes We ... by a 4-way split of a single state, a 3-way split of one state and 2-way of another, or a 2-way split of three distinct states; all of them are explored in the process of merging from 4N = 24...
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Báo cáo khoa học: "Learning Expressive Models for Word Sense Disambiguation" pot
... the sense repository was defined as the set of all the possible translations of that verb in the corpus 80% of the corpus was randomly selected and used for training, with the remainder retained ... Results are compared against the accuracy that would be obtained by using the most frequent translation in the training set to classify all the examples of the test set (in the column labeled “Majority ... use the Aleph ILP system (Srinivasan, 2000), which provides a complete inference engine and can be customized in various ways The default inference engine induces a theory iteratively using the...
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Báo cáo khoa học: "Domain Adaptation with Active Learning for Word Sense Disambiguation" pdf
... predominant sense is often indicative of a change in domain For example, the predominant sense of the noun interest in the BC part of the DSO corpus has the meaning “a sense of concern with and ... priors in the new domain Performance of domain adaptation using active learning and count-merging is then presented Next, we show that by using the predominant sense of the target domain as predicted ... j=1 In our domain adaptation study, we start with a WSD system built using training examples drawn from BC We then investigate the utility of adding additional in- domain training data from WSJ In...
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Báo cáo khoa học: " Word Sense Disambiguation in Untagged Text based on Term Weight Learning" ppt
... of the nouns, the meaning of the verb within the sentence can be determined accordingly, because a set of the nouns characterises one of the possible senses of the verb The basic assumption of ... usages of take (in Figure 1) (we call them hypothetical verbs in the following) The decomposition of a vector into a set of its component vectors requires a proper decomposition of the context in ... (7) The whole process is repeated until the newly obtained cluster, Setx, contains all the verbs in the input or the ICS is exhausted Word Sense Disambiguation We used the result of our clustering...
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Báo cáo khoa học: "Transfer Learning, Feature Selection and Word Sense Disambguation" doc
... to increase in the likelihood of the data given the new feature and ∆SM > is the extra bits used for coding this new feature In our baseline feature selection model, we use the following coding ... (the “foreground”) and puts all the remaining word senses in the “background” The parameters that it takes as input are the % of data points to put in “background” (i.e., what would be the singleton ... represents the number of features currently included in the model at a given point The first term in the above equation represents a measure of the in- sample error given the model, while the second term...
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Báo cáo khoa học: "Robust Word Sense Translation by EM Learning of Frame Semantics" docx
... and each concept contains fields including lexical entries in Chinese, English gloss, POS tags for the word in Chinese and English, and a definition of the concept including its category and semantic ... currently carrying out further work in the aspects of (1) improving the accuracy of source word frame identification and (2) incorporating bilingual frame semantics in a full fledged 245 machine translation ... (1998) .The Berkeley FrameNet project In Proceedings of the COLING-ACL, Montreal, Canada Hans C Boas (2002) Bilingual FrameNet Dictionaries for Machine Translation In Proceedings of the Third International...
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Báo cáo khoa học: "An Empirical Study of Active Learning with Support Vector Machines for Japanese Word Segmentation" pptx
... added to the primary pool and ặ is the number of examples including both labeled examples in the training set and unlabeled ones in the primary pool The ặ must be less than the percentage of support ... whereas the secondary is not The basic idea is simple Since we cannot get good performance when using a large pool at the beginning of training, we enlarge gradually a pool of unlabeled examples The ... accuracy curve varies depending on the size of a pool Surprisingly, the performance of a larger pool is worse than that of a smaller pool in the early stage of training5 One reason for this could...
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Báo cáo khoa học: "Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection" docx
... training methods with our proposed training method To compare with existing methods, we chose two popular training methods, a batch training one and an online training one The batch training ... 254 The most representative online training method is the SGD method The SGD uses a small randomly-selected subset of the training samples to approximate the gradient of an objective function The ... tune the hyper-parameters q, c, α, and β Based on automatic tuning within the training data (validation in the training data), we found it is proper to set q = n/10 (n is the number of training...
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Báo cáo khoa học: "A Combination of Active Learning and Semi-supervised Learning Starting with Positive and Unlabeled Examples for Word Sense Disambiguation: An Empirical Study on Japanese Web Search Query" pdf
... sense of d The above steps are repeated until dataset reaches the predefined desirable size number of initial positive examples and the percentage of it in the training data set word Wega Loft ... learning iterations is a future issue The accuracy of the proposed approach withEM is gradually increasing according to the percentage of added hand labeled examples The initial accuracy of with-EM, ... Average active learning process Table shows the ambiguous words, the number of its senses, the number of its data instances, the number of feature, and the percentage of positive sense instances for...
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